Bielik 11B V3.0 Instruct — Hardware Requirements & GPU Compatibility
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Bielik 11B V3.0 Instruct is a 11.2B-parameter open language model from speakleash. At Q4_K_M it needs about 7.37 GB of VRAM — see which GPUs and Macs can run it below.
456.2K downloads
76 likesSpecifications
- Publisher
- speakleash
- Parameters
- 11.2B
- Release Date
- 2025-11-07
- License
- Apache 2.0
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HuggingFace
How Much VRAM Does Bielik 11B V3.0 Instruct Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 5.2 GB | — | 4.75 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 5.4 GB | — | 4.89 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 6.0 GB | — | 5.44 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 6.1 GB | — | 5.58 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 7.4 GB | — | 6.70 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 8.8 GB | — | 7.96 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 10.1 GB | — | 9.21 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 12.3 GB | — | 11.17 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Bielik 11B V3.0 Instruct?
Q4_K_M · 7.4 GBBielik 11B V3.0 Instruct (Q4_K_M) requires 7.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 10+ GB is recommended. 50 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3080.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Bielik 11B V3.0 Instruct?
Q4_K_M · 7.4 GB55 devices with unified memory can run Bielik 11B V3.0 Instruct, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, iPad Pro M5 13" (16 GB).
Runs great
— Plenty of headroomWhere to Download Bielik 11B V3.0 Instruct
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Frequently Asked Questions
- How much VRAM does Bielik 11B V3.0 Instruct need?
Bielik 11B V3.0 Instruct requires 7.4 GB of VRAM at Q4_K_M, or 24.6 GB at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 11.2B × 4.8 bits ÷ 8 = 6.7 GB
KV Cache + Overhead ≈ 0.7 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q4_K_M7.4 GB- Can NVIDIA GeForce RTX 4090 run Bielik 11B V3.0 Instruct?
Yes, at Q8_0 (12.3 GB) or lower. Higher quantizations like BF16 (24.6 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for Bielik 11B V3.0 Instruct?
For Bielik 11B V3.0 Instruct, Q4_K_M (7.4 GB) offers the best balance of quality and VRAM usage. Q4_K_L (7.5 GB) provides better quality if you have the VRAM. The smallest option is IQ2_S at 3.8 GB.
VRAM requirement by quantization
IQ2_S3.8 GBQ3_K_S5.4 GBIQ4_NL6.9 GBQ4_K_M ★7.4 GBQ5_K_S8.4 GBBF1624.6 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Bielik 11B V3.0 Instruct on a Mac?
Bielik 11B V3.0 Instruct requires at least 3.8 GB at IQ2_S, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Bielik 11B V3.0 Instruct locally?
Yes — Bielik 11B V3.0 Instruct can run locally on consumer hardware. At Q4_K_M quantization it needs 7.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Bielik 11B V3.0 Instruct?
At Q4_K_M, Bielik 11B V3.0 Instruct can reach ~597 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~89 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 7.4 × 0.65 = ~706 tok/s
Estimated speed at Q4_K_M (7.4 GB)
~706 tok/s~89 tok/s~706 tok/s~597 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Bielik 11B V3.0 Instruct?
At Q4_K_M, the download is about 6.70 GB. The full-precision BF16 version is 22.34 GB. The smallest option (IQ2_S) is 3.49 GB.
- Which GPUs can run Bielik 11B V3.0 Instruct?
50 consumer GPUs can run Bielik 11B V3.0 Instruct at Q4_K_M (7.4 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT, AMD Radeon RX 7600. 35 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Bielik 11B V3.0 Instruct?
59 devices with unified memory can run Bielik 11B V3.0 Instruct at Q4_K_M (7.4 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Apple iPhone 17 Pro, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.